M. S. Kim

12 papers Journal 11Unranked 1
YearRankTypeTitle / Venue / Authors
2023 J jnl
Generalization with quantum geometry for learning unitaries.
CoRR
Tobias Haug, M. S. Kim
2023 J jnl
Quantum machine learning of large datasets using randomized measurements.
Mach. Learn. Sci. Technol.
Tobias Haug, Chris N. Self, M. S. Kim
2022 J jnl
Faster Born probability estimation via gate merging and frame optimisation.
Quantum
Nikolaos Koukoulekidis, HyukJoon Kwon, Hyejung H. Jee, David Jennings, M. S. Kim
2022 J jnl
Faster variational quantum algorithms with quantum kernel-based surrogate models.
CoRR
Alistair W. R. Smith, A. J. Paige, M. S. Kim
2021 J jnl
Capacity and quantum geometry of parametrized quantum circuits.
CoRR
Tobias Haug, Kishor Bharti, M. S. Kim
2021 J jnl
Large-scale quantum machine learning.
CoRR
Tobias Haug, Chris N. Self, M. S. Kim
2021 J jnl
Optimal training of variational quantum algorithms without barren plateaus.
CoRR
Tobias Haug, M. S. Kim
2021 J jnl
Quantum one-time tables for unconditionally secure qubit-commitment.
Quantum
Seok Hyung Lie, HyukJoon Kwon, M. S. Kim, Hyunseok Jeong
2020 J jnl
Efficient Approximate Quantum State Tomography with Basis Dependent Neural-Networks.
CoRR
Alistair W. R. Smith, Johnnie Gray, M. S. Kim
2019 J jnl
Quantum correlations for anonymous metrology.
Quantum
A. J. Paige, Benjamin Yadin, M. S. Kim
2010 — conf
Bypassing State Initialisation in Perfect State Transfer Protocols on Spin-Chains.
TQC
Carlo Di Franco, Mauro Paternostro, M. S. Kim
2002 J jnl
Purification of entangled coherent states.
Quantum Inf. Comput.
Hyunseok Jeong, M. S. Kim